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EndorsedendorsedCompleted

AWS Consolidation, SDK Integration and Analytics for VR Ad Firm

Services Covered:

AR, VR, and XR Development • Cloud Consulting and Services • DevOps • Data Engineering • Custom Software Development • Mobile Application Development • UI/UX Design
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Industry
Industry

Advertising & Marketing

Duration
Duration

11 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 September 2017

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
74/100
Good

Project Capability Score (PCS) estimates how capable SmartTek Solutions is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Immersive Inc.

mapEmeryville, United States of America

Project Summary

The vendor reorganized the client's AWS infrastructure toward a container-based architecture, developed Java backend services, implemented Apache Spark analytics, and built a runtime application health dashboard. They also worked on C++ ad SDKs and adapters for iOS and Android. The engagement reduced operating expenses by an order of magnitude and improved reporting and daily visualizations; the vendor was praised for responsiveness and attentive leadership.

Key Challenges

  • Expand the client's backend services.
  • Revamp AWS infrastructure to reduce costs and improve manageability.

Project Deliverables

  • Containerized AWS infrastructure
  • Java-based backend services
  • Application health dashboard displayed on an office monitor
  • C++ SDK adapters for iOS and Android
  • Apache Spark analytics pipeline
  • Ported Kibana visualizations to newer versions

Project Solution

The vendor supplied two core engineers (with additional short-term staff and a UX designer) who reorganized AWS infrastructure toward a container-based deployment model and built and integrated new Java backend services. They implemented a runtime application-health dashboard visible on an office monitor and worked on ad SDKs written in C++, writing adapters to iOS and Android. The team recommended and prototyped Apache Spark analytics for big-data processing and ported existing visualization tooling to newer browser-compatible versions.

Project Outcome

  • Operating expenses were reduced by an order of magnitude.
  • Kibana visualizations were ported to newer versions, restoring stable daily reporting.
  • Reporting processes became more efficient and the client benefited from reliable daily application health visibility.

Platforms

  • CloudCloud
  • MobileMobile
  • WebWeb

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • C++C++
  • Apache SparkApache Spark
  • JavaJava
  • iOSiOS
  • AndroidAndroid
  • ELK Stack (Elasticsearch/Logstash/Kibana)ELK Stack (Elasticsearch/Logstash/Kibana)

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Operating expenses were cut ten times over and reporting process are more efficient. AVRspot’s team was highly flexible and receptive to feedback and specifically emphasized finding the correct personnel. They quickly remedied any miscommunications and provided personalized service.”

John Gentilin

CTO

Note: This endorsement is based on publicly available client feedback from external review sources.

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